Structural and functional clusters of complex brain networks

Lucia Zemanová*, Changsong ZHOU, Jürgen Kurths

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

111 Citations (Scopus)


Recent research using the complex network approach has revealed a rich and complicated network topology in the cortical connectivity of mammalian brains. It is of importance to understand the implications of such complex network structures in the functional organization of the brain activities. Here we study this problem from the viewpoint of dynamical complex networks. We investigate synchronization dynamics on the corticocortical network of the cat by modeling each node (cortical area) of the network with a sub-network of interacting excitable neurons. We find that the network displays clustered synchronization behavior, and the dynamical clusters coincide with the topological community structures observed in the anatomical network. Our results provide insights into the relationship between the global organization and the functional specialization of the brain cortex.

Original languageEnglish
Pages (from-to)202-212
Number of pages11
JournalPhysica D: Nonlinear Phenomena
Issue number1-2
Publication statusPublished - Dec 2006

Scopus Subject Areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Condensed Matter Physics
  • Applied Mathematics

User-Defined Keywords

  • Anatomical connectivity
  • Cortical network
  • Dynamical cluster
  • Functional connectivity
  • Topological community


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